Manufacturing Data Analyst: Drive Operational Excellence

Woodhaven Furniture; Cairo (GA); On-site; USD 65,000 - 90,000; Full time

Job summary

Woodhaven Furniture seeks a Data Analyst Manufacturing to convert production, labor, quality, inventory, and shipment data into clear, actionable information for leaders. The role develops reliable reporting, identifies trends, and partners with operations, finance, supply chain, quality, and maintenance to support timely decisions.

Responsibilities include building dashboards, analyzing variances, defining KPIs, and automating reporting.

Qualifications

• Bachelor's degree in a related field or equivalent practical experience.
• 2+ years of data analysis, operations analysis, or related work experience.
• Advanced Excel skills: pivot tables, lookups, data cleaning, charts.
• Experience creating reports/dashboards in Power BI or Tableau.
• Knowledge of ERP systems and data structures.

Responsibilities

• Collect, validate, and analyze manufacturing data from ERP and other systems.
• Create daily, weekly, monthly dashboards and reports for production metrics.
• Analyze variances to plan and identify trends and risks.
• Partner with plant leaders to define KPIs and data definitions.
• Build automated reporting processes to improve speed and reliability.
• Support capacity planning, staffing analysis, and production forecasting.
• Provide ad hoc analyses to support decisions and cost reductions.
• Investigate data discrepancies and coordinate corrective actions.

Skills

Analytical thinking

Attention to detail

Time management

Communication

Independent worker

Education

Bachelor's degree in business analytics or related field

Tools

Power BI

Tableau

Excel

ERP systems

SQL

Power Query

Power Pivot

DAX

Job description

Woodhaven Furniture seeks a Data Analyst Manufacturing to convert production, labor, quality, inventory, and shipment data into clear, actionable information for leaders. The role develops reliable reporting, identifies trends, and partners with operations, finance, supply chain, quality, and maintenance to support timely decisions.

Responsibilities include building dashboards, analyzing variances, defining KPIs, and automating reporting.